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Chord Recognition using FFT Based Segment Averaging and Subsampling Feature Extraction 8

Chord Recognition using FFT Based Segment Averaging and Subs...

引用

8th International Conference on Information and Communication Technology, ICoICT 2020

作者： Sumarno, Linggo Sanata Dharma University Electrical Engineering Study Program Yogyakarta Indonesia

ISBN: (纸本)9781728161426

This paper proposes a feature extraction subsystem for a chord recognition system, which gives a fewer number of feature extraction coefficients than the previous ones. The method of the proposed feature extraction is FFT (Fast Fourier Transform) based segment averaging and subsampling. Guitar chords were used in developing the proposed feature extraction. In general, the method of the proposed feature extraction is as follows. Firstly, the input signal is transformed using FFT. Secondly, the left half portion of the transformed signal is processed in succession using SHPS (Simplified Harmonic Product Spectrum), logarithmic scaling, segment averaging, and subsampling. The output of subsampling is the result of the proposed feature extraction. Based on the test results, the proposed feature extraction was quite efficient for use in a chord recognition system. For the recognition rate category above 98%, the chord recognition system only required a number of seven feature extraction coefficients. In addition, for the recognition rate category above 90%, the chord recognition system only required a number of six feature extraction coefficients. © 2020 IEEE.

关键词： Feature extraction

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Evaluation of BER Performance for M-Ary QAM OFDM through Wireless Channel by Controlling PAPR at the Transmitter 12

Evaluation of BER Performance for M-Ary QAM OFDM through Wir...

引用

12th International Conference on Information Technology and electrical engineering, ICITEE 2020

作者： Vincent Suhartomo, Antonius President University Study Program of Electrical Engineering Bekasi17550 Indonesia

ISBN: (纸本)9781728110974

The implementation of FFT in OFDM system may provide many advantages, such as the bandwidth becomes more efficient and the signal performance over fading channel is better than single carrier signal. However, the PAPR of the signal is high and it can reach 10 dB, which is equivalent to a peak power that is 10 times higher than the average power. This way, the usage of FFT-based OFDM is not very efficient, especially in terms of power consumption at the transmitter. In this paper, a simulation was done to evaluate the BER performance of the signal with the implementation of several PAPR reduction techniques, such as the wavelet transform, Partial Transmit Sequence (PTS) technique, and also the clipping technique. The implementation was done with the 16 QAM and 64 QAM, and also the signal was sent through Rayleigh fading channel. The result shows that for 16 QAM, the best result is achieved by using db1 with PTS technique. With Eb/No value of 20 dB, the BER can be 10-3, which is 7 dB better than the normal FFT-based OFDM system. As for 64 QAM, the best result is achieved by the usage of normal db3 without PTS nor clipping technique. With Eb/No value of 24 dB, the BER can be 10-3, which is 4.5 dB better than FFT-based OFDM system. © 2020 IEEE.

关键词： Peak to average power ratio

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Fault Classification of Induction Motor Using Discrete Wavelet Transform and Fuzzy Inference System

Fault Classification of Induction Motor Using Discrete Wavel...

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2020 International Conference on Smart Technology and Applications, ICoSTA 2020

作者： Kuspijani, K. Watiasih, Richa Prihastono, Prihastono Bhayangkara Surabaya University Electrical Engineering Study Program Surabaya Indonesia

ISBN: (纸本)9781728130835

This paper develops a real-time condition-monitoring algorithm for induction motor. The condition monitoring mechanism is based on the discrete wavelet transform (DWT) and the fuzzy inference system (FIS). In this method, the stator currents are used as an input to the system. No direct access to the induction motor is required. The developed system has been rigorously assessed theoretically and experimentally, and it has been shown that the system is robust and reliable. © 2020 IEEE.

关键词： Discrete wavelet transforms

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The Use of E-Commerce Website in MSME Product Marketing in Bengkulu Province 9

The Use of E-Commerce Website in MSME Product Marketing in B...

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9th International Conference on Cyber and IT Service Management, CITSM 2021

作者： Fauzan Barus, Karina Oktavia Pratiwi, Nelsa Putri Munda Markoni Herawan Hayadi, B. Universitas Prof. Dr. Hazairin SH Management Study Program Faculty of Economics and Business Bengkulu Indonesia Faculty of Engineering Universitas Prof. Dr. Hazairin SH Informatic Study Program Bengkulu Indonesia

ISBN: (纸本)9781665435482

Technological developments in recent time of globalization, especially computer-based communication and information technology, where technology is the mainstay and needs of the world community are highly important. This is due to the very rapid development in the field of telecommunications and computers, which has pushed the world community into a fast-paced reform era, even though it has made information central in the industrial and business. © 2021 IEEE.

关键词： Websites

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Optimization of Digital Marketing Integration Through the Role of the Millenial Generation as MSMEs Effort to Survive during the Covid-19 Pandemic 9

Optimization of Digital Marketing Integration Through the Ro...

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9th International Conference on Cyber and IT Service Management, CITSM 2021

作者： Puspita, Veny Safrianti, Sintia Donovan, Indra Sari, Putri Mayang Hidayati, Arifah Akhir, Ade Fitra Putra Herawan Hayadi, B. Universitas Prof. Dr. Hazairin SH Bengkulu Economics Study Program Faculty of Economics and Business Indonesia Universitas Prof. Dr. Hazairin SH Bengkulu Management Study Program Faculty of Economics and Business Indonesia Universitas Prof. Dr. Hazairin SH Bengkulu Informatic Study Program Faculty of Engineering Indonesia

ISBN: (纸本)9781665435482

The purpose of this research is to optimize the integration of digital marketing through the role of the millennial generation as an effort for MSMEs to survive during the COVID-19 pandemic. To survive during this COVID-19 pandemic, the role of the millennial generation needs to be maximized by adopting a digital mindset because the presence of technology is very closely related to the millennial generation. all activities and mindsets that arise from the current millennial generation are closely related to technology to carry out management functions in MSMEs. This research uses a qualitative approach with a descriptive type of research because this research aims to make a systematic, factual, and accurate picture or painting of the facts, characteristics and relationships between phenomena regarding the development of the Creative Industry in the Handicraft Sector in Bengkulu City. To optimize the integration of digital marketing as an effort to survive the MSMEs during the Covid 19 Pandemic, MSME actors need to optimize the millennial generation by: Adopting a digital mindset (digital mindset), Using new models, Formulating new strategies, Implementing effective strategies, Generating sustainability. © 2021 IEEE.

关键词： COVID-19

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Comparison of BER Performance for M-ary QAM and PSK on DWT-based OFDM System with PTS Technique Through AWGN Channel 2

Comparison of BER Performance for M-ary QAM and PSK on DWT-b...

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2nd International Conference on Sustainable engineering and Creative Computing, ICSECC 2020

作者： Suhartomo, Antonius Vincent Study Program of Electrical Engineering President University Bekasi17550 Indonesia

ISBN: (纸本)9781728175881

Modulation technique, such as QAM and PSK may provide wireless communication with bandwidth efficiency. They each have their advantages, especially when it comes to BER performance over a wireless channel. They increase the performance of the bandwidth when used along with the OFDM. The FFT usually used in the OFDM system;however, it significantly increased the PAPR. DWT-based OFDM system can be implemented to solve this, and PTS technique can further improve it. This paper aims to do a simulation comparing QAM and PSK's BER performance. Both modulation technique will have the order of 4, 8, 16, 64, and ***, the bit order will be Gray-mapped. The signal is implemented in DWT-based OFDM system with PTS technique through AWGN channel. The result shows that the performance of 4-QAM is similar to QPSK. Then, 8-QAM is slightly better than 8-PSK, and as the order gets higher, the QAM shows a much better performance than PSK. The constellation diagram of QAM shows that the distance between each combination is constant for any order. PSK has a smaller distance;thus, it is very rational for QAM to perform better than PSK for the higher-order as 16-QAM, 64-QAM, and 256-QAM. © 2020 IEEE.

关键词： Orthogonal frequency division multiplexing

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Machine Learning-based Modulation Format Identification and Optical Performance Monitoring Techniques Implementation

Machine Learning-based Modulation Format Identification and ...

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2021 Advanced Communication Technologies and Signal Processing, ACTS 2021

作者： Devi, Pukhrambam Puspa Vincent Simatupang, Joni Welman National Institute of Technology Silchar Department of Electronics and Communication Engineering Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung40132 Indonesia President University Study Program of Electrical Engineering Bekasi17530 Indonesia

ISBN: (纸本)9781665423373

In this paper, machine learning-based techniques are used to solve and analyze the modulation format recognition problem. The combination of intelligent software and high-performance hardware provides a large scope for innovation in optical networking. Machine learning algorithms can use a large amount of data available from the network monitors to learn and make the network more robust. This is a problem in optical communication that consists of defining the type of digital modulation process in which an electrical signal should be sent. A dataset to represent realistic transmission behaviors was generated using a simulator based on a Gaussian noise model. A multi-layer perceptron was used and tested with different architectures to show that a high level of accuracy is achievable with machine learning. An analysis of the input features was made by using the select K best features method. Finally, an attempt to visualize the data in 2-dimension was made using the Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE) methods to reduce the dimensionality of the input features and see their relationships. © 2021 IEEE.

关键词： Principal component analysis

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Identification of the IOC-UNESCO Tsunami Ready Indicator to Improve Coastal Community Preparedness for Tsunami Disaster in Batukaras Village, Pangandaran Regency, Indonesia 5

Identification of the IOC-UNESCO Tsunami Ready Indicator to ...

引用

5th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2022

作者： Mustafida, Rika Prillya Veronica, Nikita Karima, Aufa Qoulan De Silva Nusantara, Candida Aulia Windupranata, Wiwin Institut Teknologi Bandung Master Program of Geodesy and Geomatics Engineering Bandung Indonesia Institut Teknologi Bandung Study Program of Geodesy and Geomatics Engineering Bandung Indonesia Institut Teknologi Bandung Nusantara Research Group of Hydrography Bandung Indonesia Research Group of Hydrography Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9798350398212

Batukaras Village is a village located in Cijulang District, in the southern part of Pangandaran Regency, West Java. Batukaras is one of the tourist destinations that have the potential to be visited by the tourist because of its beautiful view and potential economic income from the fishery. Beyond the potential for natural beauty, Batukaras Village also has the potential for disaster. One of them is the tsunami caused by the earthquake, with a magnitude of 7.7 in 2006. The Pangandaran tsunami on July 17 became a memorable disaster for the local community. It reached a height of 21 meters. It has left more than 300 people dead, 301 seriously injured, 551 slightly injured, and 156 missing, accompanied by huge property losses. Batukaras Village community has implemented 12 tsunami ready indicators IOC-UNESCO. Therefore, this study aims to map 12 tsunami ready IOC-UNESCO indicators in Batukaras Village to evaluate which indicators the government and community of Batukaras Village. The field survey and interviews are done to obtain data to identify the 12 tsunami ready indicators in Batukaras Village. Based on the IOC-UNESCO tsunami indicator mapping results, Batukaras Village has fulfilled 11 of the 12 indicators set. Based on the identification result, the village government has not yet fulfilled indicator five. Therefore the ITB Research and Community Service Institute (LPPM) team assisted in making an evacuation route map to fulfill these indicators. However, in the future, the Batukaras Village government, assisted by the entire community, can be committed to maintaining and improving all existing disaster preparedness assets. © 2022 IEEE.

关键词： Tsunamis

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Mammogram Breast Cancer Classification Based on Deep-Convolutional Neural Network

Mammogram Breast Cancer Classification Based on Deep-Convolu...

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International Seminar on Application for Technology of Information and Communication (ISemantic)

作者： Avissa Aurellia Amadea Christy Atika Sari Eko Hari Rachmawanto Wellia Shinta Sari Mohammed S. Noori Mohamed Ayad Alkhafaji Study Program in Informatics Engineering University of Dian Nuswantoro Semarang Indonesia Study Program in Information Systems University of Dian Nuswantoro Semarang Indonesia Department of Computer Engineering Technology Northern Technical University Mosul Iraq Department of Computer Science National University of Science and Technology DhiQar Iraq

Based on WHO’s data, breast cancer is one of the most deadly diseases that has claimed many victims, especially women. This disease begins with the presence of an undetected and eventually turns into malignant (cancer). This happens due to ignorance of the importance of having a medical check-up even though in good health. Doctors and researchers can prevent the development of tumor cells through treatment that begins with radiological examinations to identify the possibility of a person being affected by this disease. One of the most frequently used techniques is Mammography. This technique can detect the presence of tumor cells using advanced technology and several methods in displaying the patient’s diagnostic results on low-dose X-rays in the form of mammogram images. The technology is inseparable from the methods used to identify the presence of tumor cells. In this study, we have proposed the CNN method based on the deep-CNN model to identify mammogram images in the detection of breast cancer cells with average evaluation results in terms of accuracy, precision, recall, specificity, and f-measure on mammogram image datasets of 99.52%, 99.72%, 99.31%, 99.72%, and 99.5%. These results showed that this method has a good performance in breast cancer detection.

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Improvement of PID Based on Fuzzy Logic Controller for Controlling Attitude of a Quadcopter

Improvement of PID Based on Fuzzy Logic Controller for Contr...

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Aerospace electrical engineering and Informatics (ICAAEEI), International Conference of Adisutjipto on

作者： Ernando Rizki Dalimunthe Horas Nico L. P. Sibuea Dirga Rama Setiadi Akhmad Jayadi Jaka Persada Sembiring Elka Pranita Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandar Lampung Indonesia Informatic Management Study Program Politenik Negeri Lampung Bandar Lampung Indonesia

ISBN: (数字)9798331507930

ISBN: (纸本)9798331507947

The quadcopter has a fairly simple mechanical design because it does not require other drives to perform various movements such as roll, pitch, and yaw. The simplicity of this mechanical design has a considerable impact on the complexity of its control. Therefore, it is necessary to have a good control method to maintain the stability of the quadcopter. The research aims to maintain stability of quadcopter by using a combination of the Fuzzy Logic Controller (FLC) with the Proportional-Integral-Derivative (PID) method, where FLC is used to initialize the input of the PID method to find the quadcopter stability point. The application of fuzzy methods for the initial tuning of PID parameters has proven effective in enhancing the system's fundamental performance, such as overshoot, rise time, and settling time, compared to the conventional PID approach. The proposed method can reduce overshoot by over 20%, with reductions reaching up to 88% in yaw motion. Additionally, the Fuzzy-PID approach significantly improves stability, shortening the time to achieve steady-state by less than 1 seconds for all movements while PID did more than 2s for pitch and roll motions and over 1s for yaw motion.

关键词： Fuzzy logic Power demand PI control Attitude control Stability analysis Regulation Steady-state PD control Tuning Quadrotors

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